AI Engineer

1 week ago

Chennai, India Varite Full time

Job Description :We are seeking a passionate and skilled AI Engineer to join our growing team. This mid-level role is ideal for someone with a strong foundation in machine learning and AI development, who thrives in building Proof of Concept (POC) applications and deploying scalable AI solutions on cloud platforms. You'll collaborate with cross-functional teams to bring innovative ideas to life and contribute to cutting-edge projects using Google Cloud technologies. Key Responsibilities :- Design, develop, and implement AI/ML models and algorithms- Build POC applications to validate AI solution feasibility and business value- Write clean, efficient, and well-documented Python code- Collaborate with data engineers to ensure high-quality, accessible data for model training- Work closely with senior engineers to understand project requirements and deliver technical solutions- Debug and troubleshoot AI/ML models and applications- Stay current with the latest trends and advancements in AI/ML- Utilize frameworks like TensorFlow, PyTorch, and Scikit-learn for model development- Deploy AI solutions on Google Cloud Platform (GCP)- Apply data preprocessing and feature engineering using Pandas and NumPy- Leverage Vertex AI for model training, deployment, and lifecycle management- Integrate Google Gemini for specialized AI functionalities Required Qualifications :- Bachelor's degree in Computer Science, Artificial Intelligence, or a related field- Minimum 3 years of hands-on experience in AI/ML model development- Proficient in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)- Strong understanding of machine learning concepts and techniques- Experience with data preprocessing and feature engineering- Ability to work independently and collaboratively in a team environment- Excellent problem-solving and communication skills- Experience with Google Cloud Platform (GCP) preferred- Familiarity with Vertex AI is a plus Preferred Skills :- Experience integrating Google Gemini or similar AI APIs- Exposure to MLOps practices and cloud-native deployment strategies- Knowledge of model monitoring and performance optimization- Contributions to open-source AI/ML projects or research publications (ref:hirist.tech)

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